Cluster schedulers allocate computing resources across nodes in a distributed system and manage the lifecycle of tasks running on those resources. There are different architectures for cluster schedulers, including monolithic, two-level, shared-state, and distributed. Specific schedulers discussed include YARN, which uses a two-level architecture to separate resource management from task lifecycle management, Kubernetes which provides container orchestration and services, Mesos which uses a two-level architecture and is flexible in the resources it can allocate, and Nomad which uses a shared-state architecture across schedulers.